Tu Dinh Nguyen
Tu Dinh Nguyen
Senior Research Scientist, Trusting Social
Verified email at trustingsocial.com
TitleCited byYear
Dual Discriminator Generative Adversarial Nets
TD Nguyen, T Le, H Vu, D Phung
arXiv preprint arXiv:1709.03831, 2017
822017
MGAN: Training Generative Adversarial Nets with Multiple Generators
Q Hoang, TD Nguyen, T Le, D Phung
72*2018
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
T Tran, TD Nguyen, D Phung, S Venkatesh
Journal of biomedical informatics 54, 96-105, 2015
722015
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
DQ Nguyen, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1712.02121, 2017
492017
Learning parts-based representations with nonnegative restricted boltzmann machine
TD Nguyen, T Tran, D Phung, S Venkatesh
Asian Conference on Machine Learning, 133-148, 2013
312013
Tensor-variate restricted Boltzmann machines
TD Nguyen, T Tran, D Phung, S Venkatesh
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
232015
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
TD Nguyen, T Tran, D Phung, S Venkatesh
Advances in Knowledge Discovery and Data Mining 7818, 123-135, 2013
212013
Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring
H Nguyen, SJ Maclagan, TD Nguyen, T Nguyen, P Flemons, K Andrews, ...
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
202017
Nonparametric budgeted stochastic gradient descent
T Le, V Nguyen, TD Nguyen, D Phung
Artificial Intelligence and Statistics, 654-572, 2016
192016
Large-scale online kernel learning with random feature reparameterization
TD Nguyen, T Le, H Bui, D Phung
Proceedings of the 26th International Joint Conference on Artificial …, 2017
182017
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1808.04122, 2018
17*2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1808.04122, 2018
17*2018
Dual Space Gradient Descent for Online Learning
T Le, T Nguyen, V Nguyen, D Phung
Advances in Neural Information Processing Systems, 4583-4591, 2016
172016
Stabilizing high-dimensional prediction models using feature graphs
S Gopakumar, T Tran, TD Nguyen, D Phung, S Venkatesh
IEEE journal of biomedical and health informatics 19 (3), 1044-1052, 2014
142014
Budgeted Semi-supervised Support Vector Machine.
T Le, P Duong, M Dinh, TD Nguyen, V Nguyen, DQ Phung
UAI, 2016
132016
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
Proceedings of the 2018 SIAM International Conference on Data Mining, 306-314, 2018
112018
Energy-Based Localized Anomaly Detection in Video Surveillance
H Vu, TD Nguyen, A Travers, S Venkatesh, D Phung
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 641-653, 2017
112017
Distributed data augmented support vector machine on spark
TD Nguyen, V Nguyen, T Le, D Phung
2016 23rd International Conference on Pattern Recognition (ICPR), 498-503, 2016
11*2016
Approximation vector machines for large-scale online learning
T Le, TD Nguyen, V Nguyen, D Phung
The Journal of Machine Learning Research 18 (1), 3962-4016, 2017
82017
Learning sparse latent representation and distance metric for image retrieval
TD Nguyen, T Tran, D Phung, S Venkatesh
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
82013
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